Architecting Energy-Efficient Middleware for Hybrid Operating System Environments in Electric Vehicles

Authors

  • Parth Govind Vanparia

Keywords:

Software-Defined Vehicles, Power Management Middleware, Hybrid Virtualization, Real-Time Operating Systems, Suspend-to-RAM, Energy Efficiency, Electric Vehicles, Automotive Embedded Systems

Abstract

The automotive industry is transitioning to software-defined vehicles, with the user experience increasingly defined via the digital cockpit. These in-vehicle infotainment systems have a complex architecture consisting of virtualized safety-critical real-time operating systems and consumer-rich execution environments. A major concern of this architecture is managing power consumption without sacrificing immediate availability of the consumer Rich Execution Environment. With electric vehicles, parasitic load becomes a real range anxiety issue. This paper tackles the problem of reducing parasitic load across virtualization domains to enable wake-up times of less than two seconds while still meeting stringent quiescent current limits․ The work proposes architecture-level techniques for orchestrating power states across virtualization domains․ The Power Management Broker architecture is an example of how centralized state machines and level-based partitioning enable Instant-On user experiences through range-aware enforcement of ultra-low-power sleep states.

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References

Bin Liu et al., "How to Quantitatively Determine the Coverage of Software Voting During the Automotive Software Development Process," Intelligent Transportation Engineering, 2026. doi:10.3233/ATDE251531 [Online]. Available: https://journals.sagepub.com/doi/pdf/10.3233/ATDE251531

RAJEEV MURALIDHAR, "Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards," ACM Computing Surveys (CSUR), Volume 54, Issue 11s (January 2022) https://doi.org/10.1145/3511094 [Online]. Available: https://dl.acm.org/doi/pdf/10.1145/3511094

SANTIAGO LOZANO et al., "A comprehensive survey on the use of hypervisors in safety-critical systems," IEEE Access 11 (2023): 36244-36263. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10092745

Ahmed Refaat Mousa et al., "A lightweight-X-authentication protocol over automotive gateway," Computers and Electrical Engineering, Volume 110, September 2023, 108887. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0045790623003117

Yeonghun Shin et al., "Digital forensic case studies for in-vehicle infotainment systems using Android Auto and Apple CarPlay." Sensors 22.19 (2022): 7196. [Online]. Available: https://www.mdpi.com/1424-8220/22/19/7196

REINHARD WILHELM et al., "The worst-case execution-time problem—overview of methods and survey of tools." ACM transactions on embedded computing systems (TECS) 7.3 (2008): 1-53. [Online]. Available: https://dl.acm.org/doi/pdf/10.1145/1347375.1347389

Simon Fürst and Markus Bechter, "AUTOSAR for Connected and Autonomous Vehicles: The AUTOSAR Adaptive Platform," 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W), Toulouse, France, 2016, pp. 215-217, doi: 10.1109/DSN-W.2016.24. [Online]. Available: https://ieeexplore.ieee.org/document/7575379

Felix S. Schranner et al., "Deriving a representative variant for the functional safety development according to ISO 26262," Reliability Engineering & System Safety Volume 209, May 2021, 107436 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0951832021000065

Michael Armbrust et al., “A View of Cloud Computing,” Communications of the ACM, 2020. doi:10.1145/1721654.1721672 [Online]. Available: https://dl.acm.org/doi/pdf/10.1145/1721654.1721672

Giuseppe Lipari, “Real-Time Scheduling: From Hard to Soft Real-Time Systems," arXiv, 2015. [Online]. Available: https://arxiv.org/pdf/1512.01978

Nicolas Navet and Françoise Simonot-Lion, “Trends in Automotive Communication Systems," Richard Zurawski. Embedded Systems Handbook: Networked Embedded Systems, 2nd ed., Taylor and Francis/CRC Press, pp. 13.1-13.24, 2009, Industrial Information Technology Series, ISBN 978-1-4398-0761-3. [Online]. Available: https://inria.hal.science/inria-00439105/document

L.M. Pinho et al., "Reliable real-time communication in CAN networks," in IEEE Transactions on Computers, vol. 52, no. 12, pp. 1594-1607, Dec. 2003, doi: 10.1109/TC.2003.1252855. [Online]. Available: https://ieeexplore.ieee.org/document/1252855

Tommaso Cucinotta et al., "A Real-Time Service-Oriented Architecture for Industrial Automation," in IEEE Transactions on Industrial Informatics, vol. 5, no. 3, pp. 267-277, Aug. 2009, doi: 10.1109/TII.2009.2027013. [Online]. Available: https://ieeexplore.ieee.org/document/5173504

PAUL POP et al., "Analysis and optimization of distributed real-time embedded systems." Proceedings of the 41st annual Design Automation Conference. 2004. [Online]. Available: https://dl.acm.org/doi/pdf/10.1145/996566.1142984

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Published

26.08.2026

How to Cite

Parth Govind Vanparia. (2026). Architecting Energy-Efficient Middleware for Hybrid Operating System Environments in Electric Vehicles. International Journal of Intelligent Systems and Applications in Engineering, 14(1s), 2279–2291. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/8520

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Research Article